Precourse preparation

Previous knowledge

As is stated in the course prerequisites on the announcement web page, this course is intended for people already familiar with basic statistics and R. Participants must be comfortable with topics such as hypothesis testing, correlation and linear models, and must have a prior knowledge of the “R” language and environment for statistical computing and graphics. Participants who have already followed the SIB course “Introduction to statistics with R” or an equivalent course, and have used its content in practice should fit this prerequisite.

Before applying to this course, please self-assess your knowledge in stats and R to make sure this course is right for you. Here are 2 quizzes:

https://gohighbrow.com/quiz-introduction-to-statistics/

https://docs.google.com/forms/d/e/1FAIpQLSfXCnmLha0Ks4ZZZ42G_5MyIbGi-JhPayuHZ_P2jdXZEtXdqg/viewform

Technical

To do the exercises, you are required to have your own computer with at least 4 Gb of RAM and with an internet connection, as well as the latest the version of R and the free version of RStudio installed.

Please, install the necessary packages using:

install.packages("akima")
install.packages("car")
install.packages("DAAG")
install.packages("faraway")
install.packages("gam")
install.packages("ggplot2")
install.packages("ISwR")
install.packages("lattice")
install.packages("lme4")
install.packages("nlme")
install.packages("SemiPar")
install.packages("splines")
install.packages("statmod")
install.packages("WWGbook")